Beyond short supply chains: A smart conservation-based model integrating digital systems and local wisdom in coffee agribusiness

Abstract

This study addresses the persistent challenge of aligning agribusiness practices with environmental conservation in coffee-producing regions, where conventional supply chain systems often fail to support ecological sustainability and marginalize local knowledge. While digitalization has been promoted as a solution to improve efficiency and transparency, its implementation frequently overlooks the socio-cultural context of smallholder farmers. At the same time, local wisdom—long recognized for its role in sustaining ecological balance—remains insufficiently integrated into modern agribusiness systems. This study aims to develop a conceptual framework that integrates digital supply chain systems with local wisdom to enhance conservation-oriented coffee agribusiness. A conceptual approach, supported by a structured literature review, is employed to critically analyze existing models of agribusiness, digital agriculture, and community-based conservation. The analysis reveals significant gaps in current approaches, particularly the lack of synergy between technological innovation and culturally embedded practices. In response, this study proposes the Smart Conservation-Based Coffee Agribusiness Model (SCCAM), which positions local wisdom as the foundational layer, supported by digital systems to improve transparency, market access, and sustainability incentives. The model emphasizes integrating farm-level practices, digital platforms, and market mechanisms to achieve both economic viability and environmental conservation. This study contributes to the development of interdisciplinary approaches in sustainable agribusiness by offering a novel framework that bridges technology and culture. The proposed model offers practical implications for policymakers, practitioners, and researchers in designing inclusive, conservation-oriented agribusiness systems.